Stat-Knowlab. Assessment and Learning of Statistics with Competence-based Knowledge Space Theory

摘要: An intelligent tutoring system for learning basic statistics, called Stat-Knowlab, is presented and analyzed. The algorithms implemented in the are based on competence-based knowledge space theory, a mathematical theory developed formative assessment of learning. system’s architecture consists two modules that interact with each other continuous exchange information about current state student. This allows to personalize student’s learning, providing only objects she ready learn. During browsing system, several types navigation data recorded. In this work, we analyzed from studies were aimed at examining processes induced by system. results both highlighted useful monitoring student during university course statistics.